Mistral-7B-Instruct-v0.2-mental-health-finetuned

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7904

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0002
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6548	1.0	352	1.1400
1.4366	2.0	704	0.8626
1.3367	3.0	1056	0.7904

Framework versions

• PEFT 0.7.1
• Transformers 4.36.1
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0